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7 examples of Optimization metrics and KPIs

What are Optimization metrics?

Developing an effective Optimization metrics can be intimidating, especially when your daily duties demand your attention. To assist you, we've curated a list of examples to inspire your planning process.

Feel free to copy these examples into your favorite application, or leverage Tability to maintain accountability.

Find Optimization metrics with AI

While we have some examples available, it's likely that you'll have specific scenarios that aren't covered here. You can use our free AI metrics generator below to generate your own strategies.

Examples of Optimization metrics and KPIs

Metrics for Reprocessed Plastic Recycling

  • 1. Annual Sales Volume

    The total quantity of plastic products sold within a year

    What good looks like for this metric: 10,000 MT in 2025, increasing to 50,000 MT by 2035

    Ideas to improve this metric
    • Expand market reach through marketing
    • Increase product quality to boost sales
    • Enhance sales team training and incentives
    • Identify and target key industries needing plastic
    • Collaborate with international partners
  • 2. Production Yield

    The percentage of produced items that meet quality standards

    What good looks like for this metric: 95% in 2025, aiming for 99% by 2035

    Ideas to improve this metric
    • Implement quality checks at each production phase
    • Invest in modern machinery and technology
    • Train employees on quality control processes
    • Conduct regular maintenance on equipment
    • Incorporate lean manufacturing practices
  • 3. Customer Retention Rate

    The percentage of customers who continue to buy over time

    What good looks like for this metric: 80% in 2025, increasing to 95% by 2035

    Ideas to improve this metric
    • Enhance customer service and support
    • Implement a loyalty program
    • Regularly seek customer feedback for improvements
    • Offer personalized deals and discounts
    • Ensure high product quality and consistency
  • 4. Cost per Metric Tonne (MT)

    The cost incurred to produce one metric tonne of plastic

    What good looks like for this metric: 10% reduction by 2026, aiming for 20% reduction by 2035

    Ideas to improve this metric
    • Streamline procurement processes
    • Negotiate better deals with suppliers
    • Optimize production scheduling for efficiency
    • Minimize waste during production
    • Utilize energy-efficient machinery
  • 5. Training Hours per Employee

    The average number of hours each employee spends in training annually

    What good looks like for this metric: 20 hours in 2025, increasing to 60 hours by 2035

    Ideas to improve this metric
    • Develop a comprehensive training calendar
    • Encourage online and external training sessions
    • Introduce mentorship programs
    • Link training to career development plans
    • Utilize technology for training modules

Metrics for Network Isolation and Adoption

  • 1. Migration Time

    Time taken to migrate network infrastructure and services to the isolated network environment

    What good looks like for this metric: Less than or equal to 1 day

    Ideas to improve this metric
    • Streamline migration processes
    • Use automation tools to reduce manual work
    • Conduct trial runs to identify potential issues
    • Provide adequate training to the migration team
    • Develop clear migration documentation
  • 2. Platform Services in Isolated Network

    Percentage of platform services successfully transferred to an isolated network environment

    What good looks like for this metric: 100% of services

    Ideas to improve this metric
    • Create a detailed list of all platform services
    • Use project management tools for tracking migration progress
    • Allocate dedicated resources for network transition tasks
    • Regular audit and feedback sessions
    • Implement a tracking dashboard for stakeholders
  • 3. Domain Services Migration

    Number of domain-specific services migrated to the isolated network

    What good looks like for this metric: At least 2 services

    Ideas to improve this metric
    • Identify domain services with highest value impact
    • Establish priorities based on current dependencies
    • Develop an incremental migration plan
    • Test services in the isolated environment iteratively
    • Foster collaboration between domain and platform teams
  • 4. Observability Noise Reduction

    Rate of noise reduction and signal improvement in observability tools

    What good looks like for this metric: Annually decreased noise with improved signals

    Ideas to improve this metric
    • Adopt AI-based noise reduction solutions
    • Regularly review and update monitoring configurations
    • Implement automated alert tuning mechanisms
    • Conduct team workshops on effective data interpretation
    • Focus on continuous learning from alert incidents
  • 5. Disaster Recovery Time

    Total time required to complete the disaster recovery process

    What good looks like for this metric: Complete within 2 days

    Ideas to improve this metric
    • Increase automation in backup/recovery processes
    • Develop efficient recovery scripts and workflows
    • Invest in better infrastructure for faster processing
    • Establish regular disaster recovery drills
    • Monitor and optimise AWS usage to reduce limitations

Metrics for Device Usage Analysis

  • 1. Data Processing Throughput

    Measures the amount of data processed successfully within a given time frame, typically in gigabytes per second (GB/s)

    What good looks like for this metric: Varies by system but often >1 GB/s for high-performing systems

    Ideas to improve this metric
    • Increase hardware capabilities
    • Optimise software algorithms
    • Implement data compression techniques
    • Use parallel processing
    • Upgrade network infrastructure
  • 2. Latency

    Time taken from input to desired data processing action, measured in milliseconds (ms)

    What good looks like for this metric: <100 ms for high-performing systems

    Ideas to improve this metric
    • Enhance server response time
    • Minimise data travel distance
    • Optimise application code
    • Utilise content delivery networks
    • Implement load balancers
  • 3. Error Rate

    Percentage of errors during data processing compared to total operations, measured as a %

    What good looks like for this metric: <5% for acceptable performance

    Ideas to improve this metric
    • Implement error-handling codes
    • Train systems with more robust datasets
    • Regularly update software
    • Conduct thorough system testing
    • Improve data input validity checks
  • 4. Disk I/O Rate

    Measures read and write operations per second on storage devices, expressed in IOPS (input/output operations per second)

    What good looks like for this metric: >10,000 IOPS for SSDs, lower for HDDs

    Ideas to improve this metric
    • Upgrade to faster storage solutions
    • Redistribute data loads
    • Increase cache sizes
    • Use faster file systems
    • Optimise database queries
  • 5. Resource Utilisation

    Percentage of CPU, memory, and network bandwidth being used, expressed as a %

    What good looks like for this metric: 75-85% for efficient resource use

    Ideas to improve this metric
    • Perform regular system monitoring
    • Distribute workloads more evenly
    • Implement scalable cloud solutions
    • Prioritise critical processes
    • Utilise virtualisation

Metrics for Achieve $1M Monthly Revenue

  • 1. Sales Conversion Rate

    The percentage of visitors who purchase a course. Calculated as (Number of Purchases / Total Number of Visitors) * 100

    What good looks like for this metric: 2-3%

    Ideas to improve this metric
    • Optimise landing pages
    • Enhance your sales funnel
    • Offer limited-time discounts
    • Improve customer trust signals
    • A/B test pricing strategies
  • 2. Monthly Traffic

    The total number of visitors to your site each month. Calculated using web analytics tools like Google Analytics

    What good looks like for this metric: 50,000-100,000 visits

    Ideas to improve this metric
    • Invest in SEO
    • Run targeted ad campaigns
    • Collaborate with influencers
    • Use content marketing
    • Leverage social media platforms
  • 3. Average Order Value (AOV)

    The average amount spent each time a customer places an order. Calculated as Total Revenue / Number of Orders

    What good looks like for this metric: $150-$300 USD

    Ideas to improve this metric
    • Upsell and cross-sell products
    • Bundle related products
    • Implement tiered pricing
    • Provide incentives for larger purchases
    • Offer add-on services
  • 4. Customer Acquisition Cost (CAC)

    The cost to acquire a new customer. Calculated as Total Marketing Spend / Number of New Customers Acquired

    What good looks like for this metric: $50-$150 USD

    Ideas to improve this metric
    • Optimise marketing channels
    • Increase organic traffic
    • Refine target audience
    • Improve ad targeting
    • Enhance referral programs
  • 5. Customer Lifetime Value (CLV)

    The total revenue a business can reasonably expect from a single customer account. Calculated using metrics like average purchase value, purchase frequency, and customer lifespan

    What good looks like for this metric: $500-$1000 USD

    Ideas to improve this metric
    • Enhance customer loyalty programs
    • Improve customer satisfaction
    • Offer subscription models
    • Foster strong customer relationships
    • Personalise customer experience

Metrics for ABA Therapy Clinic KPIs

  • 1. Operating Profit Margin (EBIT)

    Operating profit margin is calculated as the percentage of earnings before interest and taxes (EBIT) over total revenue. It measures the efficiency of the clinic in managing its operations and costs relative to its revenue.

    What good looks like for this metric: Typical benchmark values range from 10% to 15%

    Ideas to improve this metric
    • Increase service efficiency to reduce costs
    • Negotiate better terms with suppliers
    • Optimise staff scheduling to avoid overtime
    • Enhance service pricing based on value provided
    • Minimise administrative expenses
  • 2. Revenue Growth Rate

    The rate at which the clinic's revenue is increasing over a specific period. This shows how well the clinic is performing in expanding its client base and/or increasing service fees.

    What good looks like for this metric: Healthy growth rates are typically between 5% to 10% annually

    Ideas to improve this metric
    • Enhance marketing strategies to attract more clients
    • Extend service offerings to meet client demand
    • Improve client retention through excellent service
    • Pursue partnerships with schools or local health services
    • Offer promotions or discounts for referrals
  • 3. Financial Close Accuracy

    Measures the precision of financial statements in reflecting the clinic's financial status, essential for decision making and regulatory compliance.

    What good looks like for this metric: Strive for at least 99% accuracy

    Ideas to improve this metric
    • Implement robust accounting software
    • Regularly train staff on accounting standards
    • Conduct periodic audits
    • Maintain updated documentation for all transactions
    • Streamline processes for financial data collection
  • 4. Time to Close Financials

    The duration needed to finalise the clinic's financial statements each month or quarter. Efficient close time helps in timely management decisions.

    What good looks like for this metric: Best-in-class companies aim for 5 days or less

    Ideas to improve this metric
    • Standardise closing processes
    • Automate data entry and reconciliation tasks
    • Allocate clear responsibilities to the finance team
    • Prepare preliminary reports before closing period
    • Conduct regular process review meetings
  • 5. Resource Utilisation

    Assesses the degree to which the clinic's resources, including staff and materials, are effectively used to reach financial goals.

    What good looks like for this metric: Target above 85% resource utilisation

    Ideas to improve this metric
    • Regularly assess and adjust resource allocations
    • Cross-train staff to manage workload fluctuations
    • Monitor resource usage through management software
    • Set clear KPIs for each department
    • Implement a lean management approach to minimise waste

Metrics for Marketing Management Performance

  • 1. Customer Acquisition Cost (CAC)

    The cost associated with acquiring a new customer, calculated by dividing all marketing expenses by the number of new customers acquired.

    What good looks like for this metric: Typically between $200-$300 for B2C and $500-$1,000 for B2B

    Ideas to improve this metric
    • Optimise marketing channels for cost efficiency
    • Improve targeting to attract high-value customers
    • Enhance marketing automation to reduce manual efforts
    • Utilise A/B testing to refine strategies
    • Negotiate better deals with marketing vendors
  • 2. Customer Lifetime Value (CLV)

    Predicted revenue that a customer will generate over their lifetime, calculated by multiplying the average purchase value by purchase frequency and average customer lifespan.

    What good looks like for this metric: Benchmarks vary by industry, but CLV should ideally be 3 times CAC

    Ideas to improve this metric
    • Develop loyalty programmes to increase retention
    • Upsell and cross-sell to existing customers
    • Enhance customer support for better satisfaction
    • Personalise customer experiences to boost engagement
    • Collect feedback to address pain points
  • 3. Conversion Rate

    The percentage of website visitors who take a desired action, calculated by dividing the number of conversions by the total visitors and multiplying by 100.

    What good looks like for this metric: 2% to 5% is considered average across industries

    Ideas to improve this metric
    • Optimise landing pages for clarity and actionability
    • Use clear calls-to-action (CTAs)
    • A/B test web page elements
    • Enhance website speed and usability
    • Target high-intent keywords in PPC and SEO strategies
  • 4. Return on Marketing Investment (ROMI)

    Measures the effectiveness of marketing campaigns by comparing the revenue generated to the cost of the campaign.

    What good looks like for this metric: A ROMI above 5:1 is desirable

    Ideas to improve this metric
    • Set clear campaign objectives and KPIs
    • Refine audience targeting to improve precision
    • Leverage data analytics for informed decision making
    • Focus on high-ROI channels and content
    • Conduct post-campaign analysis to measure outcomes
  • 5. Social Media Engagement Rate

    Measures the level of interaction on social media posts, typically calculated by dividing total engagement (likes, comments, shares) by total followers, then multiplying by 100.

    What good looks like for this metric: 1% to 5% engagement rate is average depending on platform

    Ideas to improve this metric
    • Create content that resonates with the audience
    • Engage with followers consistently
    • Use interactive content like polls and Q&A sessions
    • Collaborate with influencers to expand reach
    • Analyse engagement metrics to refine content strategy

Metrics for Monitor data growth accuracy

  • 1. Total Data Volume

    The total amount of data stored in a database or system, measured in gigabytes or terabytes

    What good looks like for this metric: Evaluated monthly; varies by industry

    Ideas to improve this metric
    • Regularly audit stored data
    • Use data compression techniques
    • Implement data archiving policies
    • Evaluate data storage solutions
    • Automate data clean-up processes
  • 2. Growth Rate of Data Volume

    The percentage increase in data over a specific period, typically month-over-month

    What good looks like for this metric: Generally should not exceed 5% monthly

    Ideas to improve this metric
    • Review data input processes
    • Set growth targets
    • Analyse growth trends
    • Identify unnecessary data accumulation
    • Implement stricter data entry policies
  • 3. Percentage of Duplicate Records

    The proportion of records that appear more than once in a database

    What good looks like for this metric: Aim for less than 1% duplication

    Ideas to improve this metric
    • Use data deduplication tools
    • Standardise data entry fields
    • Conduct regular data audits
    • Train staff on data entry
    • Implement unique identifiers
  • 4. Data Accuracy Rate

    The percentage of data that is correct and free from error

    What good looks like for this metric: Should be above 95%

    Ideas to improve this metric
    • Conduct regular data quality checks
    • Provide data entry training
    • Utilise automated validation tools
    • Standardise data formats
    • Implement error logging
  • 5. Record Completeness Rate

    The percentage of records that have all required fields filled out

    What good looks like for this metric: Should remain above 90%

    Ideas to improve this metric
    • Ensure all required fields are filled
    • Review and update data entry templates
    • Implement data input checks
    • Improve user data input interfaces
    • Incentivise complete data entry

Tracking your Optimization metrics

Having a plan is one thing, sticking to it is another.

Don't fall into the set-and-forget trap. It is important to adopt a weekly check-in process to keep your strategy agile – otherwise this is nothing more than a reporting exercise.

A tool like Tability can also help you by combining AI and goal-setting to keep you on track.

Tability Insights DashboardTability's check-ins will save you hours and increase transparency

More metrics recently published

We have more examples to help you below.

Planning resources

OKRs are a great way to translate strategies into measurable goals. Here are a list of resources to help you adopt the OKR framework:

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